Pricing

Rating

Developer

Actor stats

Categories

Share

🏆 Amazon Best Sellers Scraper

Extract best-selling products from any Amazon category with structured metadata. Each dataset item mirrors the backend Best Sellers payload, plus a scrape timestamp.

✨ Key Features

• 📥 Best sellers for a given category (and optional subcategory path)
• 📊 Per-product fields:
  • rank — position in the list
  • asin — Amazon Standard Identification Number
  • product_title, product_price
  • product_star_rating, product_num_ratings
  • product_url, product_photo
  • rank_change_label — may be null when not provided
• 🌍 Multiple geo (country) options; UK is sent to the API as GB
• 📈 Pagination until maxResults is reached or the API returns no more items
• 📋 One JSON object per product in the dataset

💪 Why Choose This Actor?

• Structured: Field names match the upstream best-sellers API (product_* naming)
• Flexible: Category + optional subcategory segment, country selection
• Efficient: Automatic paging across result pages
• Traceable: Each row includes scrapedAt (ISO 8601)

🎯 Perfect For

• Market researchers and e-commerce managers
• Trend and competitor analysis
• Product and category research

📝 Input Requirements

Input Example

{
"category":"Electronics",
"maxResults":50,
"geo":"US"
}

Output Example

Each pushed record looks like this (one object per product):

{
"rank":1,
"asin":"B08JHCVHTY",
"product_title":"blink plus plan with monthly auto-renewal",
"product_price":"$11.99",
"product_star_rating":"4.4",
"product_num_ratings":273417,
"product_url":"https://www.amazon.com/dp/B08JHCVHTY",
"product_photo":"https://images-na.ssl-images-amazon.com/images/I/31YHGbJsldL._AC_UL900_SR900,600_.png",
"rank_change_label":null,
"scrapedAt":"2026-03-24T02:37:17.366Z"
}